Automatic recognition of alertness level from EEG by using neural network and wavelet coefficients

Expert Systems with Applications

Volumn 28, Issue 4, 2005, Pages 701-711

  Subasi, Abdulhamit ^a  

^a KAHRAMANMARAS SUTCU IMAM UNIVERSITY   (Turkey)

Author keywords

Alert; Artificial neural network (ANN); Discrete wavelet transform (DWT); Drowsy; Electroencephalogram (EEG); Sleep

Indexed keywords

ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MODELS; NEURAL NETWORKS; NEUROLOGY; SLEEP RESEARCH; STATISTICAL METHODS; WAVELET TRANSFORMS;

ALERT; DISCRETE WAVELET TRANSFORM (DWT); DROWSY; WAVELET COEFFICIENT;

ELECTROENCEPHALOGRAPHY;

EID: 17844371713     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2004.12.027     Document Type: Article

References (24)

1. H. Adeli, Z. Zhou, and N. Dadmehr Analysis of EEG records in an epileptic patient using wavelet transform Journal of Neuroscience Methods 123 2003 69 87
2. C.W. Anderson, S.V. Devulapalli, and E.A. Stolz Determining mental state from EEG signals using neural networks Scientific Programming 4 1995 171 183
3. I.A. Basheer, and M. Hajmeer Artificial neural networks: Fundamentals, computing, design, and application Journal of Microbiological Methods 43 2000 3 31
4. A. Cohen, and J. Kovacevic Wavelets: The mathematical background Proceedings of the IEEE 84 1996 514 522
5. R. Conradt, U. Brandenburg, T. Penzel, J. Hasan, A. Varri, and J.H. Peter Vigilance transitions in reaction time test: A method of describing the state of alertness more objectively Clinical Neurophysiology 110 1999 1499 1509
6. I. Daubechies Ten lectures on wavelets. CBMS-NSF regional series in applied mathematics 1992 SIAM Philadelphia, PA
7. I. Daubechies Where do wavelets come from? A personal point of view Proceedings of the IEEE 84 1996 510 513
8. F. De Carli, L. Nobili, P. Gelcich, and F. Ferrillo A method for the automatic detection of arousals during sleep Sleep 22 1999 561 572
9. K. Doghramji, M.M. Merrill, and S.B. Sangal A normative study of the maintenance of wakefulness test (MWT) Electroencephalography and Clinical Neurophysiology 103 1997 554 562
10. L. Fausett Fundamentals of neural networks architectures, algorithms, and applications 1994 Prentice-Hall Englewood Cliffs, NJ
11. I. Guler, M.K. Kiymik, M. Akin, and A. Alkan AR spectral analysis of EEG signals by using maximum likelihood estimation Computers in Biology and Medicine 31 2001 441 450
12. E. Haselsteiner, and G. Pfurtscheller Using time-dependent neural networks for EEG classification IEEE Transactions on Rehabilitation Engineering 8 2000 457 463
13. S. Haykin Neural networks: A comprehensive foundation 1994 Macmillan New York
14. C.S. Herrmann, T. Arnold, A. Visbeck, H.P. Hundemer, and H.C. Hopf Adaptive frequency decomposition of EEG with subsequent expert system analysis Computers in Biology and Medicine 31 2001 407 427
15. T.P. Jung, S. Makeig, M. Stensmo, and T.J. Sejnowski Estimating alertness from the EEG power spectrum IEEE Transactions on Biomedical Engineering 44 1997 60 69
16. T. Kalayci, and O. Ozdamar Wavelet preprocessing for automated neural network detection of EEG spikes IEEE Engineering in Medicine and Biology Magazine Mar/Apr 1995 160 166
17. Kandaswamy, A., Kumar, C.S., Ramanathan, R.P., Jayaraman, S., Malmurugan, N. (2004). Neural classification of lung sounds using wavelet coefficients. Computers in Biology and Medicine, 34(6), 523-537.
18. M.J. McKeown, C. Humphries, P. Achermann, A.A. Borbely, and T.J. Sejnowski A new method for detecting state changes in EEG: Exploratory application to sleep data Journal of Sleep Research 7 1997 48 56
19. B.O. Peters, G. Pfurtscheller, and H. Flyvbjerg Automatic differentiation of multichannel EEG signals IEEE Transactions on Biomedical Engineering 48 2001 111 116
20. J.C. Principe, S.K. Gala, and T.G. Chang Sleep staging automation based on the theory of evidence IEEE Transactions on Biomedical Engineering 36 1989 503 509
21. O. Rioul, and M. Vetterli Wavelet and signal processing IEEE Signal Processing Magazine October 1991 14 46
22. T. Shimada, T. Shiina, and Y. Saito Detection of characteristic waves of sleep EEG by neural network analysis IEEE Transactions on Biomedical Engineering 47 2000 369 379
23. M. Sun, and R.J. Sclabassi The forward EEG solutions can be computed using artificial neural networks IEEE Transactions on Biomedical Engineering 47 2000 1044 1050
24. A. Vuckovic, V. Radivojevic, A.C.N. Chen, and D. Popovic Automatic recognition of alertness and drowsiness from EEG by an artificial neural network Medical Engineering and Physics 24 2002 349 360